United's Digital Technology team is looking to build the best airline in the history of aviation by designing, developing, and maintaining massively scaling technology solutions with innovative architectures, data analytics, and digital solutions. They are seeking a Senior Manager, Machine Engineering to lead their enterprise ML and GenAI platform to enable scalable and responsible AI solutions across the business.
Requirements
- Experience leading ML Ops teams
- Gen AI technology experience
- Understanding of architecture and relevant tools like PySpark, MLflow, LangChain, AWS, or etc.
- MLflow, KServe, SageMaker, Vertex AI, Databricks, etc.
- LLM providers (OpenAI, Anthropic), Hugging Face, LangChain/LlamaIndex
- Spark, Kafka, Delta Lake, etc.
- Kubernetes, Jenkins, GitOps, Terraform
Responsibilities
- Define and execute the ML/GenAI platform strategy aligned with enterprise digital transformation objectives
- Own the platform roadmap, architecture decisions, and budget planning to scale AI capabilities across the enterprise
- Design and operationalize GenAI pipelines (e.g., RAG, prompt orchestration, fine-tuning, and safety guardrails)
- Build and deploy secure, scalable GenAI applications with a strong emphasis on privacy, safety, and compliance
- Design, manage, and monitor the enterprise ML engineering platform, ensuring scalability, reliability, and automation
- Take ownership of ML production systems with a focus on CI/CD, observability, and resilient architecture
- Develop robust MLOps processes to monitor model performance, detect drift, and automate retraining and validation
Other
- Bachelor's degree in Computer Science, Data Science, Engineering or a relevant field
- 7+ years of relevant experience
- Must be legally authorized to work in the United States for any employer without sponsorship
- Successful completion of interview required to meet job qualification
- Reliable, punctual attendance is an essential function of the position
